2D Sketch Based Recognition of 3D freeform Shape by Using the RBF Neural Network
S. F. Qin, Guangmin Sun, D. K. Wright, S. Lim, U. Khan, C. Mao
Sketch Based Interfaces and Modeling, 2005, pp. 119--126.
Abstract: This paper presents a novel free-form surface recognition method from 2D freehand sketching. The approach is based on the Radial basis function (RBF), an artificial intelligence technique. A simple three-layered network has been designed and constructed. After training and testing with two types of surfaces (four sided boundary surfaces and four close section surfaces), it has been shown that the method is useful in freeform surface recognition. The testing results are very satisfactory.
Article URL: http://dx.doi.org/10.2312/SBM/SBM05/119-126
BibTeX format:
@inproceedings{Qin:2005:2SB,
  author = {S. F. Qin and Guangmin Sun and D. K. Wright and S. Lim and U. Khan and C. Mao},
  title = {2D Sketch Based Recognition of 3D freeform Shape by Using the RBF Neural Network},
  booktitle = {Sketch Based Interfaces and Modeling},
  pages = {119--126},
  year = {2005},
}
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